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Neuronal Auditory Machine Intelligence (NEURO-AMI) In Perspective
The recent developments in soft computing cannot be complete without noting the contributions of artificial neural machine learning systems that draw inspiration from real cortical tissue or processes that occur in human brain.
Deviant Learning Algorithm: Learning Sparse Mismatch Representations through Time and Space
Predictive coding (PDC) has recently attracted attention in the neuroscience and computing community as a candidate unifying paradigm for neuronal studies and artificial neural network implementations particularly targeted at unsupervised learning systems.
A Modified Activation Function with Improved Run-Times For Neural Networks
In this paper we present a modified version of the Hyperbolic Tangent Activation Function as a learning unit generator for neural networks.
